26.06.2017

TMA'17: Best Paper Award and Best Dataset Award

I8 teams awarded Best Paper Award and Best Dataset Award at TMA 2017

Teams from TUM's Chair of Network Architectures and Services have been awarded the prices for Best Paper Award and Best Dataset Award at the 2017 "Network Traffic Measurement and Analysis Conference" (TMA'17). TMA'17 Web Page

The publication awarded with the Best Paper Award, "Push Away Your Privacy: Precise User Tracking Based on TLS Client Certificate Authentication" describes privacy implications in Apple Push Notification Service (APNs), that have been discovered, thoroughly described and responsibly disclosed by a team of I8 researchers. Before publication, Apple released a fix in January 2017. CVE Apple Release Note Code & Dataset

The publication awarded with the Best Dataset Award, "HLOC: Hints-Based Geolocation Leveraging Multiple Measurement Frameworks", develops and evalutes a novel method for the geolocation of Internet infrastructure. This approach easily integrates ready-to-use measurement frameworks such as RIPE Atlas. The dataset includes latency and location data for millions of IPv4 and IPv6 routers. Code & Dataset

2017-06-01 Quirin Scheitle, Oliver Gasser, Patrick Sattler, Georg Carle, “HLOC: Hints-Based Geolocation Leveraging Multiple Measurement Frameworks,” in Network Traffic Measurement and Analysis Conference (TMA), Best Dataset Award, Dublin, Ireland, Jun. 2017. [Pdf] [Slides] [Rawdata] [Arxiv] [Bib]
2017-06-01 Matthias Wachs, Quirin Scheitle, Georg Carle, “Push Away Your Privacy: Precise User Tracking Based on TLS Client Certificate Authentication,” in Network Traffic Measurement and Analysis Conference (TMA), Best Paper Award, Jun. 2017. [Pdf] [Slides] [Recording] [Bib]